Corning (GLW) Other Operating Expenses (2019 - 2020)
Corning (GLW) reported Other Operating Expenses of -$87 million for Q4 2020, compared with -$179 million a year earlier.
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Analysis
Corning (GLW) Other Operating Expenses (2019 - 2020) Analysis & Trends
For FY2020, Corning posted Other Operating Expenses of -$462 million.
- By year, Other Operating Expenses came in at -$376 million in FY2019 and -$114 million in FY2018.
- Five-year quarterly Other Operating Expenses spans a low of -$179 million in Q4 2019 and a high of -$7 million in Q1 2019.
- Per Business Quant data, the three quarters before Q4 2020 came in at -$143 million (Q3 2020), -$84 million (Q2 2020) and -$89 million (Q1 2020).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 235.79 Bn | 217.37 Bn | 4.43 Bn |
| 2 | Corning | 106.66 Bn | 99.23 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 84.26 Bn | 83.30 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 68.55 Bn | 63.74 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 42.27 Bn | 31.78 Bn | 2.04 Bn |
| 6 | Nutrien | 33.55 Bn | 30.38 Bn | 3.25 Bn |
| 7 | Ppg Industries | 25.18 Bn | 17.84 Bn | 1.81 Bn |
| 8 | International Flavors & Fragrances | 23.86 Bn | 21.52 Bn | 853.00 Mn |
| 9 | Dow | 22.91 Bn | 6.41 Bn | 2.17 Bn |
| 10 | Qnity Electronics | 22.88 Bn | 20.02 Bn | 666.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | -87.00 Mn |
| Sep 30, 2020 | -143.00 Mn |
| Jun 30, 2020 | -84.00 Mn |
| Mar 31, 2020 | -89.00 Mn |
| Dec 31, 2019 | -179.00 Mn |
| Sep 30, 2019 | -130.00 Mn |
| Jun 30, 2019 | -60.00 Mn |
| Mar 31, 2019 | -7.00 Mn |
API Access
Corning Other Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=GLW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "GLW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=GLW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();